OpenMMLab Detection Toolbox and Benchmark
-
Updated
Jun 3, 2024 - Python
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Implementation of popular deep learning networks with TensorRT network definition API
A treasure chest for visual classification and recognition powered by PaddlePaddle
OpenMMLab Pre-training Toolbox and Benchmark
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.
This is an official implementation for "Video Swin Transformers".
More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam,dcn and so on), and tensorrt
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
This is an official implementation for "Self-Supervised Learning with Swin Transformers".
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
PASSL包含 SimCLR,MoCo v1/v2,BYOL,CLIP,PixPro,simsiam, SwAV, BEiT,MAE 等图像自监督算法以及 Vision Transformer,DEiT,Swin Transformer,CvT,T2T-ViT,MLP-Mixer,XCiT,ConvNeXt,PVTv2 等基础视觉算法
Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.
Paddle Large Scale Classification Tools,supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, Swin, DeiT, CaiT, FaceViT, MoCo, MAE, ConvMAE, CAE.
GRIT: Faster and Better Image-captioning Transformer (ECCV 2022)
Add a description, image, and links to the swin-transformer topic page so that developers can more easily learn about it.
To associate your repository with the swin-transformer topic, visit your repo's landing page and select "manage topics."